1.1 Trace plots for convergence check

The current MCMC setting is:

• 300,000 iteration;
  
• 200,000 burn-in;
  
• 100 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.01
## LDevsum       1.02       1.07
## dh0           1.04       1.15
## dh1           1.16       1.55
## dh2           1.14       1.50
## dh3           1.01       1.01
## dl0           1.03       1.13
## dl1           1.05       1.19
## 
## Multivariate psrf
## 
## 1.16

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 300,000 iteration;
  
• 200,000 burn-in;
  
• 100 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.05
## LDevsum       1.00       1.00
## dh0           1.04       1.15
## dh1           2.70      10.40
## dh2           1.51       2.48
## dh3           2.93      11.81
## dl0           1.09       1.34
## dl1           1.09       1.35
## 
## Multivariate psrf
## 
## 2.59

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results